Les interfaces cerveau machine non invasives

Extraction de potentiels évoqués P300 pour les interfaces cerveau-machine

Brain-computer interfaces (BCI) enable non-muscular powerful channel for communicating thanks to direct communication between the user’s brain and a computer. In this article, the presented BCI concerns the P300 speller which enables people to write a text on a computer by estimating P300 evoked potentials. In this work, an unsupervised algorithm is introduced for signal subspace estimation: th...

Study of kernel machines towards brain-computer interfaces. (Apprentissage et noyau pour les interfaces cerveau-machine)

Brain-computer Interface (BCI) has achieved numerous successful applications in both clinical domain and daily life amelioration. As an essential component, signal processing determines markedly the performance of a BCI system. In this thesis, we dedicate to improve the signal processing strategy from perspective of machine learning strategy. Firstly, we proposed TSVM-MKL to explore the inputs ...

Non Invasive Brain-Machine Interfaces

Non invasive Brain-Machine Interfaces

This document represents the final report of the study " Non invasive brain-machine interfaces " performed by the Interdepartmental Research Center " E. Piaggio " of the University of Pisa within the ARIADNA framework of activities promoted by the European Space Agency (ESA). Contents of the report are organized as follows. The first part presents a literature survey on the state of the art of ...

Interaction et contexte dans les interfaces zoomables

Many interactive computer systems use menus as an important part of their interface. Menus allow users to select operations but not to control their execution. A second interactor, such as a dialog box, has to be used to control the chosen operation and thus complete the interaction. This decomposition of what is a single action from the user’s point of view into two distinct steps slows down i...